| Doctor XAI: an ontology-based approach to black-box sequential data classification explanations C Panigutti, A Perotti, D Pedreschi Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 149 | 2020 |
| To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods E Amparore, A Perotti, P Bajardi PeerJ Computer Science 7, e479, 2021 | 48 | 2021 |
| FairLens: Auditing black-box clinical decision support systems C Panigutti, A Perotti, A Panisson, P Bajardi, D Pedreschi Information Processing & Management 58 (5), 102657, 2021 | 43 | 2021 |
| Real-time behavioral DGA detection through machine learning F Bisio, S Saeli, P Lombardo, D Bernardi, A Perotti, D Massa 2017 International Carnahan Conference on Security Technology (ICCST), 1-6, 2017 | 32 | 2017 |
| Multi-sorted argumentation T Rienstra, A Perotti, S Villata, DM Gabbay, L van der Torre Theorie and Applications of Formal Argumentation: First International …, 2012 | 26 | 2012 |
| Rewriting rules for the computation of goal-oriented changes in an argumentation system D Kontarinis, E Bonzon, N Maudet, A Perotti, L van der Torre, S Villata Computational Logic in Multi-Agent Systems: 14th International Workshop …, 2013 | 21 | 2013 |
| Conditional labelling for abstract argumentation G Boella, DM Gabbay, A Perotti, L van der Torre, S Villata Theorie and Applications of Formal Argumentation: First International …, 2012 | 20 | 2012 |
| Explainability Methods for Natural Language Processing: Applications to Sentiment Analysis. F Bodria, A Panisson, A Perotti, S Piaggesi SEBD, 100-107, 2020 | 18 | 2020 |
| Understanding network traffic states using transfer learning P Krishnakumari, A Perotti, V Pinto, O Cats, H van Lint 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 14 | 2018 |
| Explaining Identity-aware Graph Classifiers through the Language of Motifs A Perotti, P Bajardi, F Bonchi, A Panisson 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 8* | 2023 |
| Learning and reasoning about norms using neural-symbolic systems A Perotti, G Boella, S Colombo Tosatto, AS d’Avila Garcez, V Genovese, ... International Conference on Autonomous Agents and Multiagent Systems, AAMAS …, 2012 | 8 | 2012 |
| Continuous-action reinforcement learning for portfolio allocation of a life insurance company C Abrate, A Angius, G De Francisci Morales, S Cozzini, F Iadanza, ... Machine Learning and Knowledge Discovery in Databases. Applied Data Science …, 2021 | 6 | 2021 |
| Coalition formation via negotiation in multiagent systems with voluntary attacks G Boella, DM Gabbay, A Perotti, S Villata Proceedings of the 22th Belgian-Netherlands Conference on Artificial …, 2010 | 6 | 2010 |
| Co-design of human-centered, explainable AI for clinical decision support C Panigutti, A Beretta, D Fadda, F Giannotti, D Pedreschi, A Perotti, ... ACM Transactions on Interactive Intelligent Systems, 2023 | 5 | 2023 |
| Neural networks for runtime verification A Perotti, AA Garcez, G Boella 2014 International Joint Conference on Neural Networks (IJCNN), 2637-2644, 2014 | 5 | 2014 |
| Explainability methods for natural language processing: Applications to sentiment analysis (discussion paper) F Bodria, A Panisson, A Perotti, S Piaggesi | 4 | 2020 |
| Runtime verification through forward chaining A Perotti, G Boella, AA Garcez Runtime Verification: 6th International Conference, RV 2015, Vienna, Austria …, 2015 | 4 | 2015 |
| Revealing the determinants of gender inequality in urban cycling with large-scale data A Battiston, L Napoli, P Bajardi, A Panisson, A Perotti, M Szell, ... EPJ Data Science 12 (1), 9, 2023 | 3 | 2023 |
| RuleRunner technical report A Perotti arXiv preprint arXiv:1306.0810, 2013 | 3 | 2013 |
| Quantitative and ontology-based comparison of explanations for image classification V Ghidini, A Perotti, R Schifanella Machine Learning, Optimization, and Data Science: 5th International …, 2019 | 2 | 2019 |
André PanissonPrincipal Researcher, CENTAIVerified email at isi.it
